Resume-markdown

_posts/2024-08-06-welcome-to-jekyll.markdown

@@ -5,6 +5,6 @@ date:   2024-08-06 17:29:25 +0300
 categories: jekyll update
 ---
 
-# Welcome!
+# Welcome !
 
-This is the homepage of my Jekyll site. Here, you can find out info about me.
+This is the homepage of my Jekyll site. 

about.markdown

@@ -1,111 +1,5 @@
 ---
 layout: page
-title: Resume 
+title: About Me 
 permalink: /about/
 ---
-
-## Alihan Hatunoglu
-
-I am a 4th grade medical student at Yeditepe University Faculty of Medicine , Istanbul / Turkey.
-
-## Education
-
-### Yeditepe University — Faculty of Medicine
-**Istanbul** — Sep. 2021 - Present
-
-4th year / 6
-
-### Koç University — College of Engineering
-**Istanbul** — Sep. 2020 - June 2021
-
-Completed Courses: *Calculus I & II, Introduction to Linear Algebra, General Physics, General Chemistry, Programming with Python, Academic Writing*
-
-### Kabataş High School — Mathematics & Sciences Track
-**Istanbul** — Sep. 2015 - June 2020
-
-Final Grade: 91.2 / 100
-
-## Experience
-
-### Yeditepe Uni. Hospital & Stem Cell Laboratory — *Intern*
-**Istanbul** — Sep. 2023 - June 2024
-
-- Learned how to analyse flow cytometry data.
-
-### Koç Uni. Computational Structural Biology Laboratory — *Member*
-**Istanbul** — Sep. 2020 - June 2021
-
-- Gained valuable insight into teamwork in an academic setting.
-
-## Projects
-
-### Tübitak 2209 A
-
-Funded by Scientific and Technological Research Council of Turkey
-
-**Title:** Classification of Hematogons and Neoplastic B Lymphoblasts through Computational Analysis of Immunophenotypic Flow Cytometry Data
-
-**Summary:** Hematogons are B lymphocyte precursors that share similarities with neoplastic B lymphoblasts in terms of immunophenotypic patterns. This resemblance leads to difficulties in distinguishing neoplastic B lymphoblasts seen in acute B lymphoblastic leukemia (B-ALL) from hematogons, adversely affecting the diagnosis and treatment processes of B-ALL. This project aims to analyse immunophenotypic patterns of thses cells with a machine learning algorithm to enable their direct differentiation, thereby strives to contribute the diagnosis and treatment processes of B-ALL.
-
-## Research Interests
-
-- Molecular and cellular biology
-- Medical Systems Biology
-- Immunology
-
-## Skills
-
-- Python: ●●●○○
-- R: ●●○○○
-- Bash (Unix shell): ●○○○○
-- SQL: ○○○○○
-
-## Languages
-
-- Turkish: Native
-- English: ●●●●●
-- German: ●○○○○
-
-## Certificates
-
-### Supervised Machine Learning: Regression and Classification
-**Online** — July 2024
-
-Offered by DeepLearning.AI and Stanford University through Coursera. Covered topics include:
-
-- Regression, classification, and the fundamentals of supervised learning
-- Implementing machine learning algorithms in Python
-
-[Verify Certificate](https://coursera.org/verify/STD7ADPMSAWX)
-
-### Introduction to Probability and Data with R
-**Online** — July 2023
-
-Offered by Duke University through Coursera. Covered topics include:
-
-- Introduction to sampling and exploring data
-- Basic probability theory and Bayes' rule
-- Various types of sampling methods and their impact on the scope of inference
-- Variety of exploratory data analysis techniques
-
-[Verify Certificate](https://coursera.org/verify/56PSKYLY7CVK)
-
-### Fundamental Neuroscience for Neuroimaging
-**Online** — January 2023
-
-Offered by Johns Hopkins University through Coursera. Covered topics include:
-
-- Neuroscience concepts necessary to understand the implementation of neuroimaging methods
-- Introduction to neuroimaging physics and image formation
-- Overview of different neuroimaging applications: fMRI, Diffusion Tensor Imaging, MRI, and PET
-
-[Verify Certificate](https://coursera.org/verify/NK5332ZNTJZE)
-
-### Certificate of Animal Use in Experimental Research
-**Istanbul** — January 2022
-
-Offered by Yeditepe University Animal Experiments Local Ethics Committee.
-
-Received Type A Certificate for rodent use, qualified to perform procedures on animals.
-
-

contact.markdown

@@ -0,0 +1,7 @@
+---
+layout: page
+title: Contact 
+permalink: /contact/
+---
+
+e mail --->> <alihanhatunoglu@gmail.com>

resume.markdown

@@ -0,0 +1,108 @@
+---
+layout: page
+title: Resume 
+permalink: /resume/
+---
+
+## Alihan Hatunoglu
+
+I am a 4th grade medical student at Yeditepe University Faculty of Medicine , Istanbul / Turkey.
+
+## Education
+
+### Yeditepe University — *Faculty of Medicine*
+**Istanbul** — Sep. 2021 - today
+
+4th year / 6
+
+### Koç University — *College of Engineering*
+**Istanbul** — Sep. 2020 - June 2021
+
+Completed Courses: *Calculus I & II, Introduction to Linear Algebra, General Physics, General Chemistry, Programming with Python, Academic Writing*
+
+### Kabataş High School — Mathematics & Sciences Track
+**Istanbul** — Sep. 2015 - June 2020
+
+Final Grade: 91.2 / 100
+
+## Experience
+
+### Yeditepe Uni. Hospital & Stem Cell Laboratory — *Intern*
+**Istanbul** — Sep. 2023 - today
+
+- I have been learning how to analyse flow cytometry data to diagnose hematopoietic neoplasms.
+
+### Koç Uni. Computational Structural Biology Laboratory — *Member*
+**Istanbul** — Sep. 2020 - June 2021
+
+- Gained valuable insight into teamwork in an academic setting. 
+- Used Unix-Shell to test the algorithm thas was under development.
+
+## Projects
+
+### Tübitak 2209 A
+
+Funded by Scientific and Technological Research Council of Turkey
+
+**Title:** Classification of Hematogons and Neoplastic B Lymphoblasts through Computational Analysis of Immunophenotypic Flow Cytometry Data with Supervised Machine Learning
+
+## Research Interests
+
+- Molecular and cellular biology
+- Medical systems biology
+- Immunology
+
+## Skills
+
+- Python: ●●●○○
+- R: ●●○○○
+- Bash (Unix shell): ●○○○○
+- SQL: ○○○○○
+
+## Languages
+
+- Turkish: Native
+- English: ●●●●●
+- German: ●○○○○
+
+## Certificates
+
+### Supervised Machine Learning: Regression and Classification
+**Online** — July 2024
+
+Offered by DeepLearning.AI and Stanford University through Coursera. Covered topics include:
+
+- Regression, classification, and the fundamentals of supervised learning
+- Implementing machine learning algorithms in Python
+
+[Verify Certificate](https://coursera.org/verify/STD7ADPMSAWX)
+
+### Introduction to Probability and Data with R
+**Online** — July 2023
+
+Offered by Duke University through Coursera. Covered topics include:
+
+- Introduction to sampling and exploring data
+- Basic probability theory and Bayes' rule
+- Various types of sampling methods and their impact on the scope of inference
+- Variety of exploratory data analysis techniques
+
+[Verify Certificate](https://coursera.org/verify/56PSKYLY7CVK)
+
+### Fundamental Neuroscience for Neuroimaging
+**Online** — January 2023
+
+Offered by Johns Hopkins University through Coursera. Covered topics include:
+
+- Neuroscience concepts necessary to understand the implementation of neuroimaging methods
+- Introduction to neuroimaging physics and image formation
+- Overview of different neuroimaging applications: fMRI, Diffusion Tensor Imaging, MRI, and PET
+
+[Verify Certificate](https://coursera.org/verify/NK5332ZNTJZE)
+
+### Certificate of Animal Use in Experimental Research
+**Istanbul** — January 2022
+
+Offered by Yeditepe University Animal Experiments Local Ethics Committee.
+
+Received Type A Certificate for rodent use, qualified to perform procedures on animals.